IET Systems Biology

Papers
(The TQCC of IET Systems Biology is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Excavation of gene markers associated with pancreatic ductal adenocarcinoma based on interrelationships of gene expression40
Transcriptome sequencing and metabolome analysis to reveal renewal evidence for drought adaptation in mulberry25
Predictor‐Based Output Feedback Control of Tumour Growth With Positive Input: Application to Antiangiogenic Therapy17
Novel Biomarker Identification for Acute Coronary Syndrome via Integrating WGCNA and Machine Learning13
Identifying driver modules based on multi‐omics biological networks in prostate cancer12
Pan‐Cancer Integrative Analyses Reveal the Crosstalk Between the Intratumoral Microbiome, TP53 Mutation and Tumour Microenvironment10
A comprehensive analysis of FBN2 in bladder cancer: A risk factor and the tumour microenvironment influencer10
Transcriptome Analyses Reveal the Important miRNAs Involved in Immune Response of Gastric Cancer9
Identification and analysis of epithelial‐mesenchymal transition‐related key long non‐coding RNAs in hypospadias9
PPDTS: Predicting potential drug–target interactions based on network similarity8
iGATTLDA: Integrative graph attention and transformer‐based model for predicting lncRNA‐Disease associations8
Identification of toll‐like receptor 5 and acyl‐CoA synthetase long chain family member 1 as hub genes are correlated with the severe forms of COVID‐19 by Weighted gene co‐expression network analysis7
Disrupted myelination network in the cingulate cortex of Parkinson's disease7
High expression of centromere protein A and its molecular mechanism and clinical significance in prostate cancer: A study based on data mining and immunohistochemistry7
7
Human essential gene identification based on feature fusion and feature screening6
5
MRANet: Multi‐Dimensional Residual Attentional Network for Precise Polyp Segmentation5
Robust positive control of tumour growth using angiogenic inhibition5
SRAS‐net: Low‐resolution chromosome image classification based on deep learning5
Prediction and analysis of genetic effect in idiopathic pulmonary fibrosis and gastroesophageal reflux disease5
Integrative Analysis of Mitochondrial‐Related Genes Reveals Diagnostic Biomarkers and Therapeutic Targets in Acute Pancreatitis5
Identification of HIBCH and MGME1 as Mitochondrial Dynamics‐Related Biomarkers in Alzheimer's Disease Via Integrated Bioinformatics Analysis4
Genes associated with diagnosis and prognosis of Burkitt lymphoma4
Co‐Expression Transcriptomic Profiling Identifies Sex‐Universal Molecular Markers of Muscle Atrophy4
Continuous Cuffless Blood Pressure Estimation Based on Fractional Order Derivatives via Gramian Angular Field Only Using Photoplethysmograms4
SpaGraphCCI: Spatial cell–cell communication inference through GAT‐based co‐convolutional feature integration3
PMLocMSCAM: Predicting miRNA Subcellular Localisations by miRNA Similarities and Cross‐Attention Mechanism3
Comprehensive analysis of alternative splicing signatures in pancreatic head cancer3
Machine learning unveils RNA polymerase II binding as a predictor for SMAD2‐dependent transcription dynamics in response to Actvin signalling3
Cuproptosis‐related lncRNAs are correlated with tumour metabolism and immune microenvironment and predict prognosis in pancreatic cancer patients3
Identification of an M1 Macrophages‐Related Signature for Predicting the Survival and Therapeutic Response in Gastric Cancer3
Identification of molecular subtypes of ischaemic stroke based on immune‐related genes and weighted co‐expression network analysis3
Comprehensive analysis of LILR family genes expression and tumour‐infiltrating immune cells in early‐stage pancreatic ductal adenocarcinoma3
3
CAAFE‐ResNet: A ResNet With Channel Attention‐Augmented Feature Extraction for Prognostic Assessment in Rectal Cancer3
0.020534992218018